Method of Data Analysis

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CHAPTER IV DATA ANALYSIS

This chapter presents the findings in transitivity analysis and the discussion of findings regarding the newspaper ideology of The New York Times and The Washington Times. The analysis of the clauses from the editorials of The New York Times and The Washington Times is presented based on each process and participant type in transitivity analysis. The data analysis of this research deals with ideational meanings, so the analysis is conducted at the level of clause. The data of this research is two editorials taken from two U.S. newspapers, those are The New York Times and The Washington Times. First, the data were segmented into clauses, then transitivity analysis is conducted and the second, the ideology that underlies the choices of lexis in types of process and participant in both texts is analysed. 4.1 The Transitivity Analysis of The New York Times and The Washington Times’ Editorials The researcher counted the entire clauses in both editorials. From the analysis, it was found that The New York Times editorial consists of 95 clauses and The Washington Times’ editorial consists of 100 clauses. All of the clauses in both editorials are in the form of major clauses. Below are the details of types of process found in The New York Times and The Washington Times editorials. 38 Table 4.1 Types of Process in The NYT and The WT’ Editorials No Types of Process The New York Times The Washington Times Ʃ Ʃ 1 Material 40 43.2 42 42 2 Behavioural 11 11.6 2 2 3 Mental a. Cognitive 3 3.2 9 9 b. Affect 3 2.1 c. Perceptive d. Inclination 4 4.2 6 6 4 Verbal 8 8.4 7 7 5 Relational a. Attributive 15 15.7 18 18 b. Identifying 7 7.4 9 9 6 Existential 4 4.2 7 7 7 Meteorological TOTAL 95 100 100 100 Table 4.2 Types of Participant in The NYT and The WT’ Editorials No Types of Process The New York Times The Washington Times Ʃ Ʃ 1 Actor 31 19.1 27 17.4 2 Goal 30 18.5 36 23.2 3 Recipient 5 3.1 4 Client 1 0.6 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Initiator Range Behaver Phenomenon Senser Phenomenon Sayer Receiver Verbiage Carrier Attribute Attributor Token Value Assigner Existent 2 1 11 2 8 9 8 1 3 15 15 1 7 7 1 4 1.2 0.6 6.8 1.2 4.9 5.6 4.9 0.6 1.9 9.3 9.3 0.6 4.3 4.3 0.6 2.5 1 2 10 10 4 1 4 18 18 9 7 1 7 0.6 1.3 6.5 6.5 2.6 0.6 2.6 11.6 11.6 5.8 4.5 0.6 4.5 TOTAL 162 100 155 100